Large Language Models for Machine Translation Quality Annotation: Humans and Models Are Both Challenged
arXiv:2610.10918v1 Announce Type: new Abstract: Large Language Models (LLMs) are considered to be a more efficient and cost-effective alternative to human judgment for Machine Translation (MT) evaluation. With MT evaluation spanning a large number of language pairs, domains and levels of annotation…
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- 2026-10-09 04:00 · arXiv cs.CL
Large Language Models for Machine Translation Quality Annotation: Humans and Models Are Both Challenged